(Computer-)Scientific Abstracts, As Analyzed by a Confused Undergrad

I recently decided I wanted try presenting my work at an academic conference, so I had to write and submit an abstract for my proposed presentation. The problem, of course, was that I had no idea how to write a scientific abstract, which was a bit of a problem. Most of the advice I received and could find online was too vague for my taste, so I decided to take matters into my own hands and deconstruct some abstracts to see how those authors did it. And I’m really glad I did, because it was very enlightening.
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Some Interesting Things I’ve Read/Watched: Link Dump #2

Here’s another linkdump—a list of links to stuff I thought was interesting but likely won’t get to properly reviewing any time soon.1

I reserve the right to more fully review any of these article at a later date, of course. (Though at this point, it’s extremely unlikely to ever happen.)

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Getting to the End of the Thought; or, Why Write in the Age of AI?

I’ve been thinking a lot about the value of writing recently, especially in regard to how it’s been influenced by the advent of generative AI. In the past few months, I’ve had a lot of conversations in which people claimed that generative AI is just as good at writing as humans now, or better, in many cases. While I agree that AI generation tools are, at this point, better at the mechanics of writing than the average person, I have always found their outputs to be shallow and devoid of interesting surprises.
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